Asia-Pacific Conference on Services Computing. 2006 IEEE (2011)
Jeju, Jeju Island Korea (South)
Dec. 12, 2011 to Dec. 15, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/APSCC.2011.48
Feature-based opinion mining is an interesting opinion mining issue. For this problem, feature words/phrases are discovered at sentence level. However, customers usually use different words/phrases referring to the same feature in reviews. To produce a meaningful summary, synonym feature words/phrases in domain, need to be grouped under the same feature. This paper proposes a solution for grouping synonym features in Vietnamese customer reviews based on semi-supervised SVM-kNN classification and HAC clustering. Experimental results on reviews in mobile phone domain demonstrate that the proposed method is promising for the task. The Purity, Accuracy measures are 0.68 and 0.65 respectively.
feature expression, feature expression vectors, feature word/phrase, feature-based opinion mining system, opinion summarization, opinion word, synonym feature expressions grouping
Huyen-Trang Pham, Tien-Thanh Vu, Mai-Vu Tran, Quang-Thuy Ha, "A Solution for Grouping Vietnamese Synonym Feature Words in Product Reviews", Asia-Pacific Conference on Services Computing. 2006 IEEE, vol. 00, no. , pp. 503-508, 2011, doi:10.1109/APSCC.2011.48